[DL] CfP SUM 2022: The 15th International Conference on Scalable Uncertainty Management

[Potyka, Nico]

Apologies if you receive multiple copies. Please forward this call to interested parties.


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Call for Papers
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The 15th International Conference on Scalable Uncertainty Management (SUM 2022) will be  held in Paris, France from October 17-19, 2022: https://sum2022.sciencesconf.org


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Description
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Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference.


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Topics of Interest
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We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to):

Imperfect information in databases
- Methods for modeling, indexing, and querying uncertain databases
- Top-k queries, skyline query processing, and ranking
- Approximate, fuzzy query processing
- Uncertainty in data integration and exchange
- Uncertainty and imprecision in geographic information systems
- Probabilistic databases and possibilistic databases?
- Data provenance and trust
- Data summarization
- Very large datasets

Imperfect information in information retrieval and semantic web applications
- Approximate schema and ontology matching
- Uncertainty in description logics and logic programming
- Learning to rank, personalization, and user preferences
- Probabilistic language models
- Combining vector-space models with symbolic representations
- Inductive reasoning for the semantic web

Imperfect information in artificial intelligence
- Statistical relational learning, graphical models, probabilistic inference
Argumentation, defeasible reasoning, belief revision
- Weighted logics for managing uncertainty
- Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory
- Approximate reasoning, similarity-based reasoning, analogical reasoning
- Planning under uncertainty, reasoning about actions, spatial and temporal reasoning
- Incomplete preference specifications
- Learning from data

Risk analysis
- Aleatory vs. epistemic uncertainty
- Uncertainty elicitation methods
- Uncertainty propagation methods
- Decision analysis methods
- Tools for synthesizing results

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Submission Guidelines
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SUM 2022 solicits original papers in the following three categories:

- Long papers (14 pages): technical papers reporting original research or survey papers

- Short papers (8 pages): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends

- Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference

All SUM submissions must be formatted according to the LNCS/LNAI guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2022

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Dates
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All Deadlines are 23:59 Central European Time.

Abstract Submission deadline: May 23rd, 2022
Submission deadline: May 30th, 2022
Notification: July 18th, 2022
Camera-ready copies due: August 8th, 2022
Conference: Oct. 17-19, 2022

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Publication
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Accepted papers will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference.

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Organization
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Meltem Öztürk-Escoffier (Université Paris-Dauphine - PSL), General Chair
Scott Ferson (University of Liverpool), PC Co Chair
Nico Potyka (Imperial College London), PC Co Chair

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PC Members
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Leila Amgoud, IRIT - CNRS
Alessandro Antonucci, IDSIA
Nahla Ben Amor, Institut Supérieur de Gestion de Tunis
Salem Benferhat, Cril, CNRS UMR8188, Université d'Artois
Leopoldo Bertossi, Adolfo Ibáñez University (Santiago, Chile) & RelationalAI Inc.
Fernando Bobillo, University of Zaragoza
Imen Boukhris, LARODEC - Université de Tunis- ISG Tunis
Rafika Boutalbi, University of Stuttgart
Tanya Braun, University of Münster
Davide Ciucci, Università di Milano-Bicocca
Fabio Cozman, University of São Paulo
Thierry Denoeux, Universite de Technologie de Compiegne
Sylvie Doutre, University of Toulouse 1 - IRIT
Zied Elouedi, Université de Tunis
Lluis Godo, Artificial Intelligence Research Institute, IIIA - CSIC
Manuel Gómez-Olmedo, Univ. de Granada
Christophe Gonzales, Aix-Marseille Université, LIS, France
John Grant, Towson University
Arjen Hommersom, Open University of the Netherlands
Eric Lefevre, LGI2A Université d'Artois
Philippe Leray, LINA/DUKe - Nantes University
Thomas Lukasiewicz, University of Oxford
Francesca Mangili, IDSIA
Silviu Maniu, Universite Paris-Sud
Thomas Meyer, University of Cape Town and CAIR
Serafin Moral, University of Granada
Francesco Parisi, DIMES - University of Calabria
Henri Prade, IRIT - CNRS
Andrea Pugliese, University of Calabria
Benjamin Quost, HeuDiaSyC laboratory, University of Technology of Compiègne
Steven Schockaert, Cardiff University
Umberto Straccia, ISTI-CNR
Andrea Tettamanzi, Univ. Nice Sophia Antipolis
Matthias Thimm, FernUniversität in Hagen
Maurice van Keulen, University of Twente
Barbara Vantaggi, Sapienza

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